✍️ C4 Container
C4モデルのコンテナレベルにおける専門的なドキュメント作成を支援するSkill。
📺 まず動画で見る(YouTube)
▶ 【最新版】Claude(クロード)完全解説!20以上の便利機能をこの動画1本で全て解説 ↗
※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。
📜 元の英語説明(参考)
Expert C4 Container-level documentation specialist.
🇯🇵 日本人クリエイター向け解説
C4モデルのコンテナレベルにおける専門的なドキュメント作成を支援するSkill。
※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。
下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o c4-container.zip https://jpskill.com/download/2603.zip && unzip -o c4-container.zip && rm c4-container.zip
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/2603.zip -OutFile "$d\c4-container.zip"; Expand-Archive "$d\c4-container.zip" -DestinationPath $d -Force; ri "$d\c4-container.zip"
完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。
💾 手動でダウンロードしたい(コマンドが難しい人向け)
- 1. 下の青いボタンを押して
c4-container.zipをダウンロード - 2. ZIPファイルをダブルクリックで解凍 →
c4-containerフォルダができる - 3. そのフォルダを
C:\Users\あなたの名前\.claude\skills\(Win)または~/.claude/skills/(Mac)へ移動 - 4. Claude Code を再起動
⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。
🎯 このSkillでできること
下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。
📦 インストール方法 (3ステップ)
- 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
- 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
- 3. 展開してできたフォルダを、ホームフォルダの
.claude/skills/に置く- · macOS / Linux:
~/.claude/skills/ - · Windows:
%USERPROFILE%\.claude\skills\
- · macOS / Linux:
Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。
詳しい使い方ガイドを見る →- 最終更新
- 2026-05-17
- 取得日時
- 2026-05-17
- 同梱ファイル
- 1
💬 こう話しかけるだけ — サンプルプロンプト
- › C4 Container で、自社の新サービスを紹介する記事を書いて
- › C4 Container で、SNS投稿用に短く言い直して
- › C4 Container を使って、過去の記事を最新版にアップデート
これをClaude Code に貼るだけで、このSkillが自動発動します。
📖 Claude が読む原文 SKILL.md(中身を展開)
この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。
C4 Container Level: System Deployment
Use this skill when
- Working on c4 container level: system deployment tasks or workflows
- Needing guidance, best practices, or checklists for c4 container level: system deployment
Do not use this skill when
- The task is unrelated to c4 container level: system deployment
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Containers
[Container Name]
- Name: [Container name]
- Description: [Short description of container purpose and deployment]
- Type: [Web Application, API, Database, Message Queue, etc.]
- Technology: [Primary technologies: Node.js, Python, PostgreSQL, Redis, etc.]
- Deployment: [Docker, Kubernetes, Cloud Service, etc.]
Purpose
[Detailed description of what this container does and how it's deployed]
Components
This container deploys the following components:
-
- Documentation: c4-component-name.md
Interfaces
[API/Interface Name]
- Protocol: [REST/GraphQL/gRPC/Events/etc.]
- Description: [What this interface provides]
- Specification: [Link to OpenAPI/Swagger/API Spec file]
- Endpoints:
GET /api/resource- [Description]POST /api/resource- [Description]
Dependencies
Containers Used
- [Container Name]: [How it's used, communication protocol]
External Systems
- [External System]: [How it's used, integration type]
Infrastructure
- Deployment Config: [Link to Dockerfile, K8s manifest, etc.]
- Scaling: [Horizontal/vertical scaling strategy]
- Resources: [CPU, memory, storage requirements]
Container Diagram
Use proper Mermaid C4Container syntax:
C4Container
title Container Diagram for [System Name]
Person(user, "User", "Uses the system")
System_Boundary(system, "System Name") {
Container(webApp, "Web Application", "Spring Boot, Java", "Provides web interface")
Container(api, "API Application", "Node.js, Express", "Provides REST API")
ContainerDb(database, "Database", "PostgreSQL", "Stores data")
Container_Queue(messageQueue, "Message Queue", "RabbitMQ", "Handles async messaging")
}
System_Ext(external, "External System", "Third-party service")
Rel(user, webApp, "Uses", "HTTPS")
Rel(webApp, api, "Makes API calls to", "JSON/HTTPS")
Rel(api, database, "Reads from and writes to", "SQL")
Rel(api, messageQueue, "Publishes messages to")
Rel(api, external, "Uses", "API")
**Key Principles** (from [c4model.com](https://c4model.com/diagrams/container)):
- Show **high-level technology choices** (this is where technology details belong)
- Show how **responsibilities are distributed** across containers
- Include **container types**: Applications, Databases, Message Queues, File Systems, etc.
- Show **communication protocols** between containers
- Include **external systems** that containers interact with
API Specification Template
For each container API, create an OpenAPI/Swagger specification:
openapi: 3.1.0
info:
title: [Container Name] API
description: [API description]
version: 1.0.0
servers:
- url: https://api.example.com
description: Production server
paths:
/api/resource:
get:
summary: [Operation summary]
description: [Operation description]
parameters:
- name: param1
in: query
schema:
type: string
responses:
'200':
description: [Response description]
content:
application/json:
schema:
type: object
Example Interactions
- "Synthesize all components into containers based on deployment definitions"
- "Map the API components to containers and document their APIs as OpenAPI specs"
- "Create container-level documentation for the microservices architecture"
- "Document container interfaces as Swagger/OpenAPI specifications"
- "Analyze Kubernetes manifests and create container documentation"
Key Distinctions
- vs C4-Component agent: Maps components to deployment units; Component agent focuses on logical grouping
- vs C4-Context agent: Provides container-level detail; Context agent creates high-level system diagrams
- vs C4-Code agent: Focuses on deployment architecture; Code agent documents individual code elements
Output Examples
When synthesizing containers, provide:
- Clear container boundaries with deployment rationale
- Descriptive container names and deployment characteristics
- Complete API documentation with OpenAPI/Swagger specifications
- Links to all contained components
- Mermaid container diagrams showing deployment architecture
- Links to deployment configurations (Dockerfiles, K8s manifests, etc.)
- Infrastructure requirements and scaling considerations
- Consistent documentation format across all containers
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.